Operations | Monitoring | ITSM | DevOps | Cloud

Using Cortex AI Assistant to Clean Flags

May 8, 2026 By Cortex | Engineering Operations Platform In Cortex
Every team ships feature flags. Nobody owns the cleanup. The result is predictable: ownership gaps, environmental drift, complex targeting nobody remembers writing. In this Feature Friday, Cortex VP of Product Kara Gillis walks through how she triaged nearly 100 of our own LaunchDarkly flags using the Cortex AI Assistant in Slack. The Assistant queried our internal Feature Flag Scorecard and returned.
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Your platform team's name is holding it back

May 7, 2026 By Cristina Buenahora In Cortex
When you stood up your platform team, you probably spent more time on the org chart than on what to name it. Reporting lines, headcount, scope of the first charter, those felt like the real decisions. The name was administrative. Something to put in Slack and the directory and forget about. That was the most consequential decision you made. The name you give a platform team isn't just branding. It's a scope declaration.
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Building a dev platform like a product: Inside The New York Times with Sneha Rao and Ahmed Bebars

May 7, 2026 By Cortex | Engineering Operations Platform In Cortex
Cortex co-founder and CTO Ganesh Datta sits down with Sneha Rao, VP of Product, and Ahmed Bebars, Principal Engineer, both from The New York Times Developer Platforms team, to discuss what it means to build and operate a developer platform at scale across a complex media organization.
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Context Engineering: How to Manage AI Context at Scale

Apr 30, 2026 By Ganesh Datta In Cortex
Context engineering is the practice of managing the information an AI model sees (documents, tool outputs, memory, and structured metadata about the systems it reasons over) so it can make accurate decisions inside a real engineering organization. Most engineering teams have access to the same AI coding agents: Claude, GPT, Gemini, the major variants everyone is shipping. The model is no longer the differentiator.
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Ask Cortex anything, right from Slack

Apr 28, 2026 By Cortex In Cortex
The Monday morning thread. Someone asks who owns checkout-service. Someone else asks what changed in the Production Readiness Scorecard last week. A third person wants to know if the Kubernetes migration is blocking the launch next Thursday. The answers exist. They live in Cortex. But getting them into the thread means someone stops what they're doing, opens a tab, finds the data, and pastes it back. By the time they do, the conversation has moved on.
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Introducing the Cortex AI Assistant (now in Slack)!

Apr 28, 2026 By Cortex | Engineering Operations Platform In Cortex
Mention @Cortex in any Slack channel the Assistant has been invited to, public or private, and get grounded answers pulled from your Cortex data. Questions can be as simple as "who owns payments-api?" or as analytical as "what's driving our incident trends this quarter?" The Assistant pulls context from all across Cortex, including ownership, Scorecards, Initiatives, on-call, dependencies, and Eng Intelligence metrics, and holds context across a threaded conversation.
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The job is not to write code. It's to produce business value.

Apr 23, 2026 By Cristina Buenahora In Cortex
Most engineers can tell you exactly how many PRs they merged last quarter. Far fewer can tell you what any of it did for the business. The best engineering leaders can. They draw a straight line from their team's work to ARR: which reliability investment protected revenue, which migration unblocked a strategic customer, which operational improvement reduced churn. They lead with outcomes, not story points.
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Rootly's Dan Sadler: why AI coding tools are driving more incidents + why reliability is the product

Apr 23, 2026 By Cortex | Engineering Operations Platform In Cortex
Cortex co-founder and CTO Ganesh Datta sits down with Dan Sadler, VP of Engineering at Rootly. Dan explains how Rootly treats reliability as a product feature rather than just a technical metric, and why culture might be the most impactful element of building reliable systems.
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Faster code doesn't mean faster delivery

Apr 16, 2026 By Cortex In Cortex
Software development has never moved this fast. JetBrains' 2026 AI Pulse Survey found that 90% of developers now use at least one AI tool at work. CircleCI's 2026 State of Software Delivery report, covering 28 million workflows across 22,000 organizations, found that daily CI workflow runs jumped 59% year over year, the largest single increase they've ever recorded. In that same period, CI success rates dropped to a five-year low.
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